Understand the Business & Unlock AI Opportunities
Documented AI opportunity assessments, validated requirement overviews, and stakeholder input summaries that help the team prioritize where intelligent solutions will have the most impact.
Turn Data into Decisions
Reproducible datasets, analysis summaries, Power BI dashboards, and AI-assisted query outputs that support evidence-based decision-making across operational and quality teams.
Deploy & Embed AI Platforms
Access and support tickets, configuration notes, adoption feedback reports, and enablement actions that accelerate how quickly colleagues start benefiting from new AI capabilities.
Map Processes, Spot Automation Potential
Up-to-date process maps, workflow narratives, and AI-readiness assessments that inform fit-gap discussions, change impact reviews, and future solution design.
Drive Projects Forward
Maintained action and issue logs, test coordination materials, and structured status inputs that improve transparency and keep AI delivery on schedule.
Build AI Confidence Across the Business
Quick-start guides, updated FAQs, training artifacts, and feedback summaries that reduce the learning curve for AI tools and build lasting digital confidence across teams.

HBO or WO degree (completed or final year) in Information Technology, Business IT, Data Science, Artificial Intelligence, Industrial Engineering, or a related field.
Genuine curiosity about AI and how it changes the way we work;
Strong analytical and creative problem-solving abilities;
Structured and accurate way of working;
Clear communicator in both Dutch and English;
Fast learner with a collaborative, can-do mindset.
0–2 years of relevant experience (internships count).
Hands-on experience with Power BI, SQL, Python, or cloud/AI platforms is a significant advantage.
Exposure to manufacturing or GxP-regulated environments is a plus — but enthusiasm to learn counts for just as much.

AI & Technology Specialist, II

Key skills